General Online Research Conference 2024 (GOR 24)
Rheinische Fachhochschule Cologne - Campus Vogelsanger Straße
21 - 23 February 2024
Conference Agenda
Overview and details of the sessions of this conference. Please select a date or location to show only sessions at that day or location. Please select a single session for detailed view (with abstracts and downloads if available).
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Session Overview |
Date: Friday, 23/Feb/2024 | |||||
9:30am - 10:00am |
Begin Check-in |
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10:00am - 10:45am |
Keynote 2: Keynote 2 Location: Auditorium (Room 0.09/0.10/0.11) Data collection using mobile apps: What can we do to increase participation? University of Essex, United Kingdom |
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10:45am - 11:15am |
GOR Award Ceremony |
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11:15am - 11:45am |
Break |
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11:45am | Track A.1: Survey Research: Advancements in Online and Mobile Web Surveys sponsored by GESIS – Leibniz-Institut für Sozialwissenschaften |
Track A.2: Survey Research: Advancements in Online and Mobile Web Surveys sponsored by GESIS – Leibniz-Institut für Sozialwissenschaften |
Track B: Data Science: From Big Data to Smart Data |
Track C: Politics, Public Opinion, and Communication |
Track D: Digital Methods in Applied Research |
11:45am - 12:45pm |
A5.1: Recruiting Survey Participants Location: Seminar 1 (Room 1.01) Chair: Olga Maslovskaya, University of Southampton, United Kingdom Recruiting online panel through face-to-face and push-to-web surveys. HUN-REN Centre for Social Sciences, Hungary Initiating Chain-Referral for Virtual Respondent-Driven Sampling – A Pilot Study with Experiments 1: German Institute for Economic Research; 2: University of Bremen; 3: German Center for Integration and Migration |
A5.2: Detecting Undesirable Response Behavior Location: Seminar 3 (Room 1.03/1.04) Chair: Jan-Lucas Schanze, GESIS - Leibniz-Institut für Sozialwissenschaften, Germany Who is going back and why? Using survey navigation paradata to differentiate between potential satisficers and optimizers in web surveys 1: GESIS – Leibniz-Institut für Sozialwissenschaften in Mannheim, Germany; 2: Utrecht University, Netherlands Socially Desirable Responding in Panel Studies – Does Repeated Interviewing Affect Answers to Sensitive Behavioral Questions? GESIS - Leibniz Institute for the Social Sciences Distinguishing satisficing and optimising web survey respondents using paradata GESIS – Leibniz-Institut für Sozialwissenschaften in Mannheim, Germany |
B5: To Trace or to Donate, That’s the Question Location: Seminar 2 (Room 1.02) Chair: Alexander Wenz, University of Mannheim, Germany Exploring the Viability of Data Donations for WhatsApp Chat Logs 1: GESIS - Leibniz Institute for the Social Sciences; 2: Ulm University The Mix Makes the Difference: Using Mobile Sensing Data to Foster the Understanding of Non-Compliance in Experience Sampling Studies 1: Charlotte Fresenius Hochschule, University of Psychology, Germany; 2: LMU Munich, Department of Psychology |
C5: Politics, Media, Trust Location: Seminar 4 (Room 1.11) Chair: Felix Gaisbauer, Weizenbaum-Institut e.V., Germany What makes media contents credible? A survey experiment on the relative importance of visual layout, objective quality and confirmation bias for public opinion formation Konstanz University, Germany Sharing is caring! Youth Political Participation in the Digital Age GESIS, Germany Navigating Political Turbulence: A Study of Trust and online / offline Engagement in Unstable Political Contexts The Max Stern Yezreel Valley College, Israel |
D5: KI Forum: Impuls-Session - Chancen und Regulierungen Location: Auditorium (Room 0.09/0.10/0.11) Session Moderators: Oliver Tabino, Q Agentur für Forschung Yannick Rieder, Janssen-Cilag GmbH Georg Wittenburg, Inspirient This session is in German. EU AI Act: Innovationsmotor oder Innovationsbremse? KI Bundesverband, Germany Das Potential von Foundation Models und Generativer KI – Ein Blick in die Zukunft IAIS, Germany |
12:45pm - 2:00pm |
Lunch Break Location: Cafeteria (Room 0.15) |
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2:00pm - 3:00pm |
A6.1: Questionnaire Design Choices Location: Seminar 1 (Room 1.01) Chair: Julian B. Axenfeld, German Institute for Economic Research (DIW Berlin), Germany Grid design in mixed device surveys: an experiment comparing four grid designs in a general Dutch population survey. Statistics Netherlands, Netherlands, The Towards a mobile web questionnaire for the Vacation Survey: UX design challenges Statistics Netherlands, Netherlands, The Optimising recall-based travel diaries: Lessons from the design of the Wales National Travel Survey National Centre for Social Research, United Kingdom |
A6.2: Data Quality Assessments 2 Location: Seminar 3 (Room 1.03/1.04) Chair: Fabienne Kraemer, GESIS Leibniz-Institut für Sozialwissenschaften, Germany Can we identify and prevent cheating in online surveys? Evidence from a web tracking experiment. 1: University of Oxford, United Kingdom; 2: The London School of Economics, United Kingdom; 3: Universitat Pompeu Fabra, Spain; 4: Institut Barcelona Estudis Internacionals (IBEI), Spain The Quality of Survey Items and the Integration of the Survey Quality Predictor 3.0 into the Questionnaire Development Process GESIS - Leibniz Institute for the Social Sciences, Germany Probability-based online and mixed-method panels from a data quality perspective 1: HUN-REN Centre for Social Sciences, Hungary; 2: Panelstory Opinion Polls, Hungary |
B6.1: Automatic analysis of answers to open-ended questions in surveys Location: Seminar 2 (Room 1.02) Chair: Barbara Felderer, GESIS, Germany Using the Large Language Model BERT to categorize open-ended responses to the "most important political problem" in the German Longitudinal Election Study (GLES) GESIS, Germany The Genesis of Systematic Analysis Methods Using AI: An Explorative Case Study TU Dresden, Germany Insights from the Hypersphere - Embedding Analytics in Market Research SPLENDID Research, Germany |
B6.2: AI Tools for Survey Research 2 Location: Seminar 4 (Room 1.11) Chair: Florian Keusch, University of Mannheim, Germany Vox Populi, Vox AI? Estimating German Public Opinion Through Language Models 1: LMU Munich, Germany; 2: University of Mannheim, Germany Integrating LLMs into cognitive pretesting procedures: A case study using ChatGPT GESIS - Leibniz Institute for the Social Sciences, Germany Using Large Language Models for Evaluating and Improving Survey Questions 1: University of Mannheim, Germany; 2: LMU Munich, Germany |
D6: KI Forum: KI Café Location: Auditorium (Room 0.09/0.10/0.11) Session Moderators: Oliver Tabino, Q Agentur für Forschung Yannick Rieder, Janssen-Cilag GmbH Georg Wittenburg, Inspirient This session is in German. Moderierter Austausch zu folgenden Themen: • Messbare Qualität von KI-Tools ist Grundlage für Vertrauen und Voraussetzung für den betrieblichen Einsatz, aber welche Qualitätskriterien haben sich bewährt? Wie können sie erfasst und verglichen werden? • Wie implementiert man KI-Anwendungen in Prozesse? Wobei ist die Nutzung bereits etabliert? Was gibt es dabei zu beachten? • KI und Ethik: Was geht und was nicht? |
3:00pm - 3:15pm |
Break |
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3:15pm - 4:15pm |
A7.1: Survey Methods Interventions 2 Location: Seminar 1 (Room 1.01) Chair: Joss Roßmann, GESIS - Leibniz Institute for the Social Sciences, Germany Pushing older target persons to the web: Do we still need a paper questionnaire? GESIS - Leibniz-Institut für Sozialwissenschaften, Germany Clarification features in web surveys: Usage and impact of “on-demand” instructions GESIS - Leibniz Institute for the Social Sciences, Germany |
A7.2: Social Media Recruited Surveys Location: Seminar 3 (Room 1.03/1.04) Chair: Tobias Rettig, University of Mannheim, Germany Assessing the impact of advertisement design on response quality in surveys using social media recruitment 1: Max Planck Institut for Demographic Research, Germany; 2: Bielefeld University, Germany Do expensive social media ad groups pay off in the recruitment of a non-probabilistic panel? An inspection on coverage and cost structure GESIS Leibniz Institute for the Social Sciences, Germany |
B7: Mobile Apps and Sensors Location: Seminar 2 (Room 1.02) Chair: Ramona Schoedel, Charlotte Fresenius Hochschule, University of Psychology, Germany Mechanisms of Participation in Smartphone App Data Collection: A Research Synthesis University of Mannheim “The value of privacy is not as high as finding my person”: Self-disclosure practices on dating apps illustrate an existential dilemma for data protection University of Oxford, United Kingdom Money or Motivation? Decision Criteria to participate in Smart Surveys Destatis - Federal Statistical Office Germany, Germany |
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